scholarly journals Analysis of the Behavioral Change and Utility Features of Electronic Activity Monitors

Technologies ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 75
Author(s):  
Zakkoyya H. Lewis ◽  
Maddison Cannon ◽  
Grace Rubio ◽  
Maria C. Swartz ◽  
Elizabeth J. Lyons
Keyword(s):  
Behavior Change ◽  
Behavioral Change ◽  
Program Planning ◽  
Research Needs ◽  
Behavior Change Techniques ◽  
Activity Monitors ◽  
Behaviour Change Wheel ◽  
Electronic Activity ◽  
And Training ◽  
Selection Of

The aim of this study was to perform a content analysis of electronic activity monitors that also evaluates utility features, code behavior change techniques included in the monitoring systems, and align the results with intervention functions of the Behaviour Change Wheel program planning model to facilitate informed device selection. Devices were coded for the implemented behavior change techniques and device features. Three trained coders each wore a monitor for at least 1 week from December 2019–April 2020. Apple Watch Nike, Fitbit Versa 2, Fitbit Charge 3, Fitbit Ionic—Adidas Edition, Garmin Vivomove HR, Garmin Vivosmart 4, Amazfit Bip, Galaxy Watch Active, and Withings Steel HR were reviewed. The monitors all paired with a phone/tablet, tracked exercise sessions, and were wrist-worn. On average, the monitors implemented 27 behavior change techniques each. Fitbit devices implemented the most behavior change techniques, including techniques related to the intervention functions: education, enablement, environmental restructuring, coercion, incentivization, modeling, and persuasion. Garmin devices implemented the second highest number of behavior change techniques, including techniques related to enablement, environmental restructuring, and training. Researchers can use these results to guide selection of electronic activity monitors based on their research needs.

scholarly journals Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis

2014 ◽  
Vol 16 (8) ◽  
pp. e192 ◽  
Author(s):  
Elizabeth J Lyons ◽  
Zakkoyya H Lewis ◽  
Brian G Mayrsohn ◽  
Jennifer L Rowland
Keyword(s):  
Content Analysis ◽  
Behavior Change ◽  
Behavior Change Techniques ◽  
Activity Monitors ◽  
Lifestyle Activity

scholarly journals What Makes Opportunistic GP Interventions Effective? An Analysis of Behavior Change Techniques Used in 237 GP-Delivered Brief Interventions for Weight Loss

2020 ◽  
Author(s):  
Jana Bourhill ◽  
Joseph J Lee ◽  
Kerstin Frie ◽  
Paul Aveyard ◽  
Charlotte Albury
Keyword(s):  
Weight Loss ◽  
Behavior Change ◽  
Weight Management ◽  
Behavioral Change ◽  
Clinical Evidence ◽  
Brief Interventions ◽  
Management Service ◽  
Behavior Change Techniques ◽  
Training Video ◽  
Behavioral Change Techniques

Abstract Background Evidence shows that clinician-delivered brief opportunistic interventions are effective in obesity, and guidelines promote their use. However, there is no evidence on how clinicians should do this, and guidelines are not based on clinical evidence. Purpose A trial (Brief Interventions for Weight Loss [BWeL]) showed that brief opportunistic interventions on obesity that endorsed, offered, and facilitated referral to community weight management service (CWMS) led to 77% agreeing to attend, and 40% attending CWMS, as well as significantly greater weight loss than control at 12 months. We assessed which behavior change techniques (BCTs) doctors used that were associated with CWMS attendance. Methods We coded 237 recorded BWeL interventions using the behavioral change techniques version one taxonomy. We also coded the BWeL training video to examine delivery of recommended BCTs. Mixed effects logistic regression assessed the association between each BCT, the total number of BCTs, and delivery of recommended BCTs, with patient’s agreement to attend and actual CWMS attendance. Results Of 237 patients, 133 (56%) agreed to attend and 109 (46%) attended. Thirteen BCTs were used more than eight times but none of the 13 were associated with increased attendance. One, “practical social support,” was significantly associated with increased patient agreement (odds ratio [OR] = 4.80, 95% confidence interval [CI] = 1.15, 20.13). Delivery of recommended BCTs and the total number of BCTs used were both associated with increased agreement (OR = 1.56, 95% CI = 1.09, 2.23 and OR = 1.34, 95% CI = 1.03, 1.75, respectively), but not attendance at CWMS (OR = 1.20, 95% CI = 0.98–1.47 and OR = 1.08, 95% CI = 0.94–1.24, respectively). Conclusions There is no evidence that particular BCT can increase the effectiveness of brief opportunistic interventions for obesity in adults. However, using more BCTs and delivery of recommended BCTs may increase agreement to attend community weight management services.

scholarly journals Digital Health Behavior Change Technology: Bibliometric and Scoping Review of Two Decades of Research

10.2196/13311 ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. e13311 ◽  
Author(s):  
Fawad Taj ◽  
Michel C A Klein ◽  
Aart van Halteren
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Scoping Review ◽  
Behavioral Change ◽  
Digital Technologies ◽  
Health Behavior Change ◽  
The United States ◽  
Behavior Change Techniques ◽  
Research Areas

Background Research on digital technology to change health behavior has increased enormously in recent decades. Due to the interdisciplinary nature of this topic, knowledge and technologies from different research areas are required. Up to now, it is not clear how the knowledge from those fields is combined in actual applications. A comprehensive analysis that systematically maps and explores the use of knowledge within this emerging interdisciplinary field is required. Objective This study aims to provide an overview of the research area around the design and development of digital technologies for health behavior change and to explore trends and patterns. Methods A bibliometric analysis is used to provide an overview of the field, and a scoping review is presented to identify the trends and possible gaps. The study is based on the publications related to persuasive technologies and health behavior change in the last 18 years, as indexed by the Web of Science and Scopus (317 and 314 articles, respectively). In the first part, regional and time-based publishing trends; research fields and keyword co-occurrence networks; influential journals; and collaboration network between influential authors, countries, and institutions are examined. In the second part, the behavioral domains, technological means and theoretical foundations are investigated via a scoping review. Results The literature reviewed shows a clear and emerging trend after 2001 in technology-based behavior change, which grew exponentially after the introduction of the smartphone around 2009. Authors from the United States, Europe, and Australia have the highest number of publications in the field. The three most active research areas are computer science, public and occupational health, and psychology. The keyword “mhealth” was the dominant term and predominantly used together with the term “physical activity” and “ehealth”. A total of three strong clusters of coauthors have been found. Nearly half of the total reported papers were published in three journals. The United States, the United Kingdom, and the Netherlands have the highest degree of author collaboration and a strong institutional network. Mobile phones were most often used as a technology platform, regardless of the targeted behavioral domain. Physical activity and healthy eating were the most frequently targeted behavioral domains. Most articles did not report about the behavior change techniques that were applied. Among the reported behavior change techniques, goal setting and self-management were the most frequently reported. Conclusions Closer cooperation and interaction between behavioral sciences and technological areas is needed, so that theoretical knowledge and new technological advancements are better connected in actual applications. Eventually, this could result in a larger societal impact, an increase of the effectiveness of digital technologies for health behavioral change, and more insight in the relationship between behavioral change strategies and persuasive technologies' effectiveness.

scholarly journals Behavioral Framework of Immersive Technologies (BehaveFIT): How and Why Virtual Reality can Support Behavioral Change Processes

2021 ◽  
Vol 2 ◽  
Author(s):  
Carolin Wienrich ◽  
Nina Döllinger ◽  
Rebecca Hein
Keyword(s):  
Virtual Reality ◽  
Behavior Change ◽  
Behavioral Change ◽  
Theoretical Foundation ◽  
Change Processes ◽  
Intervention Design ◽  
Behavior Change Techniques ◽  
Psychological Barriers ◽  
Interaction Research ◽  
Immersive Technologies

The design and evaluation of assisting technologies to support behavior change processes have become an essential topic within the field of human-computer interaction research in general and the field of immersive intervention technologies in particular. The mechanisms and success of behavior change techniques and interventions are broadly investigated in the field of psychology. However, it is not always easy to adapt these psychological findings to the context of immersive technologies. The lack of theoretical foundation also leads to a lack of explanation as to why and how immersive interventions support behavior change processes. The Behavioral Framework for immersive Technologies (BehaveFIT) addresses this lack by 1) presenting an intelligible categorization and condensation of psychological barriers and immersive features, by 2) suggesting a mapping that shows why and how immersive technologies can help to overcome barriers and finally by 3) proposing a generic prediction path that enables a structured, theory-based approach to the development and evaluation of immersive interventions. These three steps explain how BehaveFIT can be used, and include guiding questions for each step. Further, two use cases illustrate the usage of BehaveFIT. Thus, the present paper contributes to guidance for immersive intervention design and evaluation, showing that immersive interventions support behavior change processes and explain and predict 'why' and 'how' immersive interventions can bridge the intention-behavior-gap.

scholarly journals Using the Behaviour Change Wheel Program Planning Model to Design Games for Health: Development Study (Preprint)

2021 ◽  
Author(s):  
Michael C Robertson ◽  
Tom Baranowski ◽  
Debbe Thompson ◽  
Karen M Basen-Engquist ◽  
Maria Chang Swartz ◽  
...  
Keyword(s):  
Behavior Change ◽  
Older Women ◽  
Behaviour Change ◽  
Game Design ◽  
Program Planning ◽  
Planning Model ◽  
Game Mechanics ◽  
Behaviour Change Wheel ◽  
Games For Health ◽  
Player Experiences

BACKGROUND Games for health are a promising approach to health promotion. Their success depends on achieving both experiential (game) and instrumental (health) objectives. There is little to guide game for health (G4H) designers in integrating the science of behavior change with the art of game design. OBJECTIVE The aim of this study is to extend the Behaviour Change Wheel program planning model to develop Challenges for Healthy Aging: Leveraging Limits for Engaging Networked Game-Based Exercise (CHALLENGE), a G4H centered on increasing physical activity in insufficiently active older women. METHODS We present and apply the G4H Mechanics, Experiences, and Change (MECHA) process, which supplements the Behaviour Change Wheel program planning model. The additional steps are centered on identifying target G4H player experiences and corresponding game mechanics to help game designers integrate design elements and G4H objectives into behavioral interventions. RESULTS We identified a target behavior of increasing moderate-intensity walking among insufficiently active older women and key psychosocial determinants of this behavior from self-determination theory (eg, autonomy). We used MECHA to map these constructs to intervention functions (eg, persuasion) and G4H target player experiences (eg, captivation). Next, we identified behavior change techniques (eg, framing or reframing) and specific game mechanics (eg, transforming) to help realize intervention functions and elicit targeted player experiences. CONCLUSIONS MECHA can help researchers map specific linkages between distal intervention objectives and more proximal game design mechanics in games for health. This can facilitate G4H program planning, evaluation, and clearer scientific communication.

Digital Health Behavior Change Technology: Bibliometric and Scoping Review of Two Decades of Research (Preprint)

2019 ◽  
Author(s):  
Fawad Taj ◽  
Michel C A Klein ◽  
Aart van Halteren
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Scoping Review ◽  
Behavioral Change ◽  
Digital Technologies ◽  
Health Behavior Change ◽  
The United States ◽  
Behavior Change Techniques ◽  
Research Areas

BACKGROUND Research on digital technology to change health behavior has increased enormously in recent decades. Due to the interdisciplinary nature of this topic, knowledge and technologies from different research areas are required. Up to now, it is not clear how the knowledge from those fields is combined in actual applications. A comprehensive analysis that systematically maps and explores the use of knowledge within this emerging interdisciplinary field is required. OBJECTIVE This study aims to provide an overview of the research area around the design and development of digital technologies for health behavior change and to explore trends and patterns. METHODS A bibliometric analysis is used to provide an overview of the field, and a scoping review is presented to identify the trends and possible gaps. The study is based on the publications related to persuasive technologies and health behavior change in the last 18 years, as indexed by the Web of Science and Scopus (317 and 314 articles, respectively). In the first part, regional and time-based publishing trends; research fields and keyword co-occurrence networks; influential journals; and collaboration network between influential authors, countries, and institutions are examined. In the second part, the behavioral domains, technological means and theoretical foundations are investigated via a scoping review. RESULTS The literature reviewed shows a clear and emerging trend after 2001 in technology-based behavior change, which grew exponentially after the introduction of the smartphone around 2009. Authors from the United States, Europe, and Australia have the highest number of publications in the field. The three most active research areas are computer science, public and occupational health, and psychology. The keyword “mhealth” was the dominant term and predominantly used together with the term “physical activity” and “ehealth”. A total of three strong clusters of coauthors have been found. Nearly half of the total reported papers were published in three journals. The United States, the United Kingdom, and the Netherlands have the highest degree of author collaboration and a strong institutional network. Mobile phones were most often used as a technology platform, regardless of the targeted behavioral domain. Physical activity and healthy eating were the most frequently targeted behavioral domains. Most articles did not report about the behavior change techniques that were applied. Among the reported behavior change techniques, goal setting and self-management were the most frequently reported. CONCLUSIONS Closer cooperation and interaction between behavioral sciences and technological areas is needed, so that theoretical knowledge and new technological advancements are better connected in actual applications. Eventually, this could result in a larger societal impact, an increase of the effectiveness of digital technologies for health behavioral change, and more insight in the relationship between behavioral change strategies and persuasive technologies' effectiveness.

scholarly journals Development of a theory-based video-game intervention to increase advance care planning conversations by healthcare providers

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Deepika Mohan ◽  
Meredith A. MacMartin ◽  
Julia S. C. Chelen ◽  
Carolyn B. Maezes ◽  
Amber E. Barnato
Keyword(s):  
Behavior Change ◽  
Advance Care Planning ◽  
Video Game ◽  
Healthcare Providers ◽  
Autonomous Motivation ◽  
Care Planning ◽  
Game Development ◽  
Behavior Change Techniques ◽  
Advance Care ◽  
Selection Of

Abstract Background Hospitalization offers an opportunity for healthcare providers to initiate advance care planning (ACP) conversations, yet such conversations occur infrequently. Barriers to these conversations include attitudes, skill, and time. Our objective was to develop a theory-based, provider-level intervention to increase the frequency of ACP conversations in hospitals. Methods We followed a systematic process to develop a theory-based, provider-level intervention to increase ACP conversations between providers and their hospitalized patients. Using principles established in Intervention Mapping and the Behavior Change Wheel, we identified a behavioral target, a theory of behavior change, behavior change techniques, and a mode of delivery. We addressed a limitation of these two processes of intervention development by also establishing a framework of design principles to structure the selection of intervention components. We partnered with a game development company to translate the output into a video game. Results We identified willingness to engage in ACP conversations as the primary contributor to ACP behavior, and attitudes as a modifiable source of this willingness. We selected self-determination theory, and its emphasis on increasing autonomous motivation, as a relevant theory of behavior change and means of changing attitudes. Second, we mapped the components of autonomous motivation (i.e., autonomy, competence, and relatedness) to relevant behavior change techniques (e.g., identity). Third, we decided to deliver the intervention using a video game and to use the narrative engagement framework, which describes the use of stories to educate, model behavior, and immerse the user, to structure our selection of intervention components. Finally, in collaboration with a game development company, we used this framework to develop an adventure video game (Hopewell Hospitalist). Conclusions The systematic development of a theory-based intervention facilitates the mechanistic testing of the efficacy of the intervention, including the specification of hypotheses regarding mediators and moderators of outcomes. The intervention will be tested in a randomized clinical trial.

Community Program Planning: Development and Training

2013 ◽  
Author(s):  
Michelle S. Schultz
Keyword(s):  
Program Planning ◽  
Community Program ◽  
Planning Development ◽  
And Training

Behavior change techniques in mobile apps targeting self-harm in young people: a systematic review

2021 ◽  
Author(s):  
Elena Panagiotopoulou ◽  
Celeste Peiris ◽  
Daniel Hayes
Keyword(s):  
Young People ◽  
Behavior Change ◽  
Dialectical Behavior Therapy ◽  
Mobile Apps ◽  
Mental Healthcare ◽  
Future Research ◽  
Active Components ◽  
Behavior Change Techniques ◽  
Other Information ◽  
Self Harm

Abstract Despite the high prevalence of self-harm among young people, as well as their extensive use of mobile apps for seeking support with their mental healthcare, it is unclear whether the design of mobile apps aimed at targeting self-harm is underpinned by behavior change techniques (BCTs). To systematically analyze and identify (a) what BCTs and (b) what theories are present in self-harm apps for young people in an attempt to understand their active components. Systematic searches in Apple store, followed by thorough screening, were conducted to identify free mobile apps targeting self-harm in young people. Five apps met the inclusion criteria and were used by trained researchers, who coded identified features against the BCT Taxonomy V1. Despite the majority of apps being underpinned by principles of Dialectical Behavior Therapy (DBT), no other information is available about specific theories underpinning these apps. Nineteen of the 93 BCTs were identified across the five apps. The most frequently used BCT was “Distraction” (54.2%), offering ideas for activities to distract users from self-harming. Other techniques that were used often were “Social Support (unspecified)” (27.0%) and “Behavior Substitution” (10.6%). This study provides the first analysis of BCTs present in mental health apps which are designed to target the reduction of self-harm in young people. Future research is needed to evaluate the effectiveness of the apps, as well as assess the effectiveness of the BCTs present.

scholarly journals Moving from tradition-based to competence-based psychotherapy

2021 ◽  
pp. ebmental-2020-300219
Author(s):  
Winfried Rief
Keyword(s):  
Basic Science ◽  
Theoretical Framework ◽  
Psychological Interventions ◽  
Skills Acquisition ◽  
Relationship Patterns ◽  
Cognitive Behavioural ◽  
Training Programmes ◽  
New Research ◽  
And Training ◽  
Selection Of

Current education and training in psychological interventions is mostly based on different ‘schools’ (traditions such as cognitive–behavioural or psychodynamic therapy), and strong identification with these specific traditions continuously hinders a scientifically based development of psychotherapy. This review is selective rather than systematic and comprehensive. In addition to the consideration of other influential publications, we relied on a literature search in Web of Science using the following terms (update: 24 December 2020): (psychotherapy AND meta-analy* AND competence*). After summarising current problems, a pathway for solving these problems is presented. First, we have to recategorise psychological interventions according to the mechanisms and subgoals that are addressed. The interventions can be classified according to the foci: (1) skills acquisition (eg, communication, emotion regulation, mentalisation); (2) working with relationship patterns and using the therapeutic relationship to modify them; and (3) clarification of motives and goals. Afterwards, the training of psychotherapists can switch from focusing on one theoretical framework to learning the different competences for modification according to these new categories. The selection of topics to be addressed should follow best evidence-based mechanisms and processes of mental disorders and interventions. Psychology offers knowledge about these mechanisms that can be understood as a basic science for psychological treatments in general. This requires better connection with basic science, new research efforts that focus on treatment subgoals, theory-overarching optimisation of the selection and personalisation of treatments, and new types of training for psychotherapists that are designed to optimise therapists’ competences accordingly, instead of limiting training programmes to one single theoretical framework.

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